| User | aigamer |
| Upload Date | July 23 2025 06:45 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-A WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4840
900.0 IPS |
|
|
Image Classification (HP)
|
100% |
4836
899.3 IPS |
|
|
Image Classification (Q)
|
100% |
10192
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6296
102.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6231
101.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11514
186.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9303
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9411
11.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34643
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
4514
358.1 IPS |
|
|
Object Detection (HP)
|
100% |
4492
356.3 IPS |
|
|
Object Detection (Q)
|
88% |
10829
868.0 IPS |
|
|
Face Detection (SP)
|
100% |
8285
98.4 IPS |
|
|
Face Detection (HP)
|
100% |
8788
104.4 IPS |
|
|
Face Detection (Q)
|
100% |
19608
233.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11800
90.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11832
91.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
29447
229.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27678
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27813
35.8 IPS |
|
|
Style Transfer (Q)
|
98% |
93569
120.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5784
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5829
215.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17222
637.8 IPS |
|
|
Text Classification (SP)
|
100% |
4091
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4137
5.52 KIPS |
|
|
Text Classification (Q)
|
92% |
5718
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5674
97.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5556
95.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5488
94.5 IPS |